Dr. Fabian Scheipl, Dr. Sabine Hoffmann, Daniel Schlichting
2024-02-13
Overview & Terminology
Data analysis
Summary and Discussion
VR-Training: Adapting Virtual Reality Training Applications by Dynamically Adjusting Visual Aspects
Motivation:
- Static training doesn’t fit everyone: Too easy → boredom, Too hard → anxiety
- Adaptive VR training balances difficulty to improve outcomes.
Scenario:
- Users move and place parcels in a VR warehouse using controllers.
- Visual cues: dynamic lighting and color guidance.
Adaptive Features:
- Tracks user behavior (head movement) and performance (time, errors).
- Adjusts lighting, object colors, etc., after each training round.
1. Overview & Terminology
Data Analysis
Relationship between Stress indicators and Physiological Measurements
Relationship over the rounds
Subgroups and Outliers
Cohorts comparison: Similarities and Differences
3. Summary and Discussion
1. Overview & Terminology
Data Analysis
Relationship between Stress indicators and Physiological Measurements
Relationship over the rounds
Subgroups and Outliers
Cohorts comparison: Similarities and Differences
3. Summary and Discussion
1. Overview & Terminology
Data Analysis
Relationship between Stress indicators and Physiological Measurements
Relationship over the rounds
Subgroups and Outliers
Cohorts comparison
3. Summary and Discussion
– All participants with high HRV values belong to the Adapted training version.
1. Overview & Terminology
Data Analysis
Relationship between Stress indicators and Physiological Measurements
Relationship over the rounds
Subgroups’ behavior
Cohorts comparison
3. Summary and Discussion